[Geo4All] CFP: ISPRS Intl Journal of Geo-Information (IJGI) - Special Issue about Geospatial Open Systems

Chaowei Yang cyang3 at gmu.edu
Thu Feb 13 22:07:07 PST 2020


The ISPRS International Journal of Geo-Information (IJGI) will publish a special issue about “Geospatial Open Systems”. This Special Issue intends to synergize insight about the state of knowledge of open systems scoping, design, implementation, deployment, use, and sustainability for geo-information (geospatial) applications. Manuscripts that broaden and/or deepen insight into these topics are candidates for the Special Issue.

Scope: Open systems provide free access to geo-data and geo-information in a variety of geospatial domains, such as environmental science and management, human dynamics, transportation planning and management, geo-information crowdsourcing, community organizing, and geosciences, among others. Open systems enable access for almost everyone, barring any illegal activity. Open systems might or might not use open source software as part of the development efforts. Open knowledge systems now in development for various applications promise to transform how people make use of data, information, evidence, and knowledge. The Special Issue explores the past, present, and future of open systems environments addressing data, information, and knowledge for geospatial applications. Any aspect of open geospatial data, information, knowledge, and software systems is a relevant topic as long as the topic is well reasoned and developed in a thorough manner in line with IJGI guidelines. Prospects for development and use of geospatial open source software are relevant for consideration. Software applications addressing these topics are also part of the scope, but the issue is not limited to these topics.

Please click the following link for additional information including submission instructions.

https://www.mdpi.com/journal/ijgi/special_issues/Geospatial_Open_Systems

Prof. Timothy Nyerges, U of Washington

Prof. Piotr Jankowski, San Diego State University

Prof. Wenwen Li, Arizona State University

Prof. Chaowei Yang, George Mason University

Guest Editors

-------------------------------------------------
Chaowei Phil Yang, Ph.D.,
Director, NSF Spatiotemporal Innovation Center; www.stcenter.net
Co-Director, Center of Intelligent Spatial Computing for Water/Energy Sciences; http://cisc.gmu.edu/
Professor, GGS, GMU, http://ggs.gmu.edu/
http://cpgis.gmu.edu/homepage/
Tel: 703-993-4742 (O)

Yang, C., Yu, M., Li, Y., Hu, F., Jiang, Y., Liu, Q., Sha, D., Xu, M. and Gu, J., 2019. Big Earth data analytics: a survey. Big Earth Data, 3(2),83-107. DOI: /10.1080/20964471.2019.1611175<https://doi.org/10.1080/20964471.2019.1611175>



Yang, C., Clarke, K., Shekhar, S. and Tao, C.V., 2020. Big Spatiotemporal Data Analytics: a research and innovation frontier., International Journal of Geographical Information Science, DOI: 10.1080/13658816.2019.1698743<https://doi.org/10.1080/13658816.2019.1698743>


Trying to find a resource (text) for learning GIS and programming (including step by step guidance)?
Introduction to GIS Programming and Fundamentals with Python and ArcGIS®<https://www.crcpress.com/Introduction-to-GIS-Programming-and-Fundamentals-with-Python-and-ArcGIS/Yang/p/book/9781466510081>


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